Foundations-of-Programming-Python資格関連題、Foundations-of-Programming-Python練習問題

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WGU Foundations-of-Programming-Python Exam Syllabus Topics:

SectionObjectives
Python Fundamentals- Variables and Data Types
- Type Conversion
- Input/Output Operations
- Operators and Expressions
Testing and Debugging- Trace Errors
- Debugging Techniques
- Unit Testing Concepts
Control Structures- Nested Conditionals and Loops
- Loops (for, while)
- Conditional Statements (if, elif, else)
- Loop Control (break, continue, pass)
Functions- Parameters and Arguments
- Recursion
- Function Definition and Call
- Return Values
- Scope (local and global)
File Handling and Exceptions- Exception Handling (try, except, finally)
- Reading and Writing Files
- Custom Exceptions
Data Structures- Sets
- String Manipulation
- Dictionaries
- Tuples
- Lists and List Operations
Object-Oriented Programming- Encapsulation
- Attributes and Methods
- Inheritance
- Constructors (__init__)
- Classes and Objects

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WGU Foundations of Programming (Python) - E010 JIV1 認定 Foundations-of-Programming-Python 試験問題 (Q24-Q29):

質問 # 24
Which Python data structure allows duplicate values and supports methods like append() and remove()?

正解:D

解説:
A list is a Python data structure that can store multiple values. Lists can contain duplicate values, and they support methods such as append() and remove().
Example:
fruits = [ " apple " , " banana " , " apple " ]
fruits.append( " orange " )
fruits.remove( " banana " )
print(fruits)
Output:
[ ' apple ' , ' apple ' , ' orange ' ]
The value " apple " appears more than once, showing that lists allow duplicates.
The official Python documentation lists list.append() as a method that adds an item to the end of a list and list.
remove() as a method that removes the first matching value from a list.
Therefore, the correct answer is C. List.


質問 # 25
Which Python data structure automatically prevents duplicate values from being stored?

正解:C

解説:
Asetstores only unique elements. If duplicate values are added, Python keeps only one copy.
Example:
numbers = {1, 2, 2, 3}
print(numbers)
Output:
{1, 2, 3}
Python's data structures documentation describes sets as collections with no duplicate elements.
Therefore, the correct answer isD. Set.


質問 # 26
Which data type does the expression 5 > 3 evaluate to in Python?

正解:B

解説:
In Python, comparison expressions such as 5 > 3 evaluate to aBooleanvalue.
The expression:
5 > 3
checks whether 5 is greater than 3. Since this statement is true, Python returns:
True
True and False are Boolean values in Python.
Therefore, the correct answer isC. Boolean.


質問 # 27
Complete the function format_name(first, last) that takes a first name and last name and returns them combined as " last, first " .
For example, format_name( " John " , " Smith " ) should return " Smith, John " .
def format_name(first, last):
# TODO: Return the name in " last, first " format
pass

正解:

解説:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: The function receives two string parameters: first and last.
Step 2: The required format is the last name first, followed by a comma, a space, and then the first name.
Step 3: Use string concatenation to combine the values correctly.
Correct code:
def format_name(first, last):
return last + " , " + first
Example:
print(format_name( " John " , " Smith " ))
Output:
Smith, John


質問 # 28
Fix the missing function call in this function that should return the uppercase version of a string.
def make_uppercase(text):
return text.upper

正解:

解説:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: In Python, upper is a string method.
Step 2: A method must be called using parentheses ().
Step 3: text.upper refers to the method itself, but it does not execute it.
Step 4: Use text.upper() to return the uppercase version of the string.
Correct code:
def make_uppercase(text):
return text.upper()
Example:
print(make_uppercase( " hello " ))
Output:
HELLO


質問 # 29
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